ch (`git push origin username/feature-name`) 5. Open a Pull Request ### Things to Know about Dev and Debug Locally ## License This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details. 41:T473,## what is Gbox? Gbox is an open-source project that provides a self-hostable sandbox for MCP (Multi-Client Protocol) integration and other AI agent use cases, enabling secure local command execution for AI clients. ## how to use Gbox? To use Gbox, install it via Homebrew, set up the environment, and export the MCP configuration to your AI client like Claude Desktop or Cursor. ## key features of Gbox? - Self-hostable sandbox for AI agents - Integration with MCP clients for local command execution - Support for running sandboxes in Kubernetes clusters - Command-line tool for managing sandbox containers ## use cases of Gbox? 1. Generating diagrams and PDFs from AI clients. 2. Analyzing and comparing market data. 3. Processing local files and executing arbitrary tasks. ## FAQ from Gbox? - What platforms does Gbox support? > Currently, Gbox supports macOS, with plans for Linux and Windows in the future. - How do I update Gbox? > Use Homebrew to update Gbox and reinitialize the environment. - Can I contribute to Gbox? > Yes! Contributions are welcome, and you can submit a Pull Request after discussing major changes.42:Tcb1,\# mcp-server-sentry: A Sentry MCP server ## Overview A Model Context Protocol server for retrieving and analyzing issues from Sentry.io. This server provides tools to inspect error reports, stacktraces, and other debugging information from your Sentry account. ### Tools 1. \`get\_sentry\_issue\` - Retrieve and analyze a Sentry issue by ID or URL - Input: - \`issue\_id\_or\_url\` (string): Sentry issue ID or URL to analyze - Returns: Issue details including: - Title - Issue ID - Status - Level - First seen timestamp - Last seen timestamp - Event count - Full stacktrace ### Prompts 1. \`sentry-issue\` - Retrieve issue details from Sentry - Input: - \`issue\_id\_or\_url\` (string): Sentry issue ID or URL - Returns: Formatted issue details as conversation context ## Installation ### Using uv (recommended) When using \[\`uv\`\](https://docs.astral.sh/uv/) no specific installation is needed. We will use \[\`uvx\`\](https://docs.astral.sh/uv/guides/tools/) to directly run \*mcp-server-sentry\*. ### Using PIP Alternatively you can install \`mcp-server-sentry\` via pip: \`\`\` pip install mcp-server-sentry \`\`\` After installation, you can run it as a script using: \`\`\` python -m mcp\_server\_sentry \`\`\` ## Configuration ### Usage with Claude Desktop Add this to your \`claude\_desktop\_config.json\`: Using uvx \`\`\`json "mcpServers": { "sentry": { "command": "uvx", "args": \["mcp-server-sentry", "--auth-token", "YOUR\_SENTRY\_TOKEN"\] } } \`\`\` Using pip installation \`\`\`json "mcpServers": { "sentry": { "command": "python", "args": \["-m", "mcp\_server\_sentry", "--auth-token", "YOUR\_SENTRY\_TOKEN"\] } } \`\`\` ### Usage with \[Zed\](https://github.com/zed-industries/zed) Add to your Zed settings.json: Using uvx \`\`\`json "context\_servers": \[ "mcp-server-sentry": { "command": { "path": "uvx", "args": \["mcp-server-sentry", "--auth-token", "YOUR\_SENTRY\_TOKEN"\] } } \], \`\`\` Using pip installation \`\`\`json "context\_servers": { "mcp-server-sentry": { "command": "python", "args": \["-m", "mcp\_server\_sentry", "--auth-token", "YOUR\_SENTRY\_TOKEN"\] } }, \`\`\` ## Debugging You can use the MCP inspector to debug the server. For uvx installations: \`\`\` npx @modelcontextprotocol/inspector uvx mcp-serve

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